Vulnerability Scan Review & Remediation

Q: How does the automation decide which findings are false positives?

Rule-based logic compares each finding against asset type, historical patterns, and exploitability data to flag likely false positives; your team reviews and confirms before any ticket is created.

Q: Can the automation work with our existing issue tracker and messaging tools?

Yes, the automation integrates with mainstream issue trackers and messaging platforms so tickets are created and teams are notified in the tools you already use.

Q: What happens if the automation encounters a vulnerability it has never seen before?

New or unusual findings are flagged for manual review by your security team; the automation learns from your decisions to improve classification accuracy over time.

Q: Does the automation maintain an audit trail for compliance?

Yes, scan metadata, findings counts, and all classification and assignment decisions are logged automatically for compliance reporting and historical tracking.

Reviewing scan output and tracking remediation to closure per client.

84 hrs

Manual time identified

Companies have mapped

Map This Automation

About This Automation

Vulnerability scan review and remediation is the manual process of extracting, deduplicating, and classifying security findings from automated scans, then creating tickets and notifying teams.

Automation extracts vulnerability data from multiple scan formats, removes duplicates, classifies severity, assigns ownership, and creates tickets with notifications in minutes. Teams focus on actual remediation instead of data entry.

Key features:

Parse vulnerability scan output in multiple formats and extract structured data automatically

Deduplicate findings by comparing CVE ID and affected assets against historical records

Classify severity and filter false positives using rule-based logic and historical patterns

Assign ownership and calculate remediation deadlines based on asset criticality and SLA rules

Create tickets in your issue tracker with all details and notify assigned teams instantly

Log scan metadata and audit trail for compliance reporting

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Manual data extraction from reports Parsing vulnerability details from multiple scan formats into spreadsheets is time-consuming and error-prone.	80%
2	Duplicate finding identification Manually comparing findings across scans and tools leads to missed or redundant entries.	67%
3	False positive assessment Determining which findings are actionable requires subjective judgment and context switching.	53%
4	Ticket creation and assignment Manually creating tickets in your issue tracker and notifying teams is repetitive and delays remediation.	40%
5	Audit trail and compliance logging Recording scan metadata and decisions manually increases the risk of incomplete or inconsistent records.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

8.4/ 10

AI Fit Rating™

9.1/ 10

Automation Lift Index™

8.7/ 10

Hidden Overhead™

7.3/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. Scan Report Receivedtrigger

Vulnerability scan completes and report file is detected in the shared folder or email inbox. The automation platform retrieves the file and extracts the raw findings data.

2. Parse and Deduplicate Findings

The automation reads the scan output, extracts CVE ID, asset name, severity, and description, and compares against a database of previously seen vulnerabilities to remove duplicates and consolidate related findings.

3. Classify Severity and Filter False Positives

The automation applies a rule-based classifier trained on historical decisions to assign final severity, flag likely false positives, and recommend an action (remediate, defer, or close).

4. Assign Ownership and Timeline

The automation matches each vulnerability to the responsible team or asset owner based on asset type and criticality, and calculates a remediation deadline based on severity.

5. Create Jira Tickets

The automation creates a ticket for each actionable finding, populating title, description, severity label, assignee, and due date.

6. Send Notifications

The automation sends a message to the assigned owner with a summary of the vulnerability, a link to the Jira ticket, and the remediation deadline.

7. Log Scan Metadata

The automation appends a record to a Google Sheet with the scan date, tool name, total findings, actionable findings, and a link to the Jira filter for this scan.

Most popular tool stack used

— the complete tool combinations companies use

52% of companies

28% of companies

15% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

Every scenario checked and signed off before the automation goes live.

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Frequently asked questions

Everything you need to know before mapping this process.

What scan formats does the automation handle?

The automation reads vulnerability data from XML, JSON, and CSV formats produced by common scan tools, so you can consolidate findings from multiple sources without manual conversion.

How does the automation decide which findings are false positives?

Can the automation work with our existing issue tracker and messaging tools?

What happens if the automation encounters a vulnerability it has never seen before?

Does the automation maintain an audit trail for compliance?

View more FAQs

Process pain:8.4/10

Mapped by:7 Companies

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Page updated 10 August 2026